{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T12:00:05Z","timestamp":1780488005586,"version":"3.54.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2018,12,1]],"date-time":"2018-12-01T00:00:00Z","timestamp":1543622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61432012"],"award-info":[{"award-number":["61432012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1435213"],"award-info":[{"award-number":["U1435213"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["YJ201748"],"award-info":[{"award-number":["YJ201748"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/tnnls.2018.2827036","type":"journal-article","created":{"date-parts":[[2018,5,8]],"date-time":"2018-05-08T18:43:03Z","timestamp":1525804983000},"page":"6191-6201","source":"Crossref","is-referenced-by-count":87,"title":["Transfer Hashing: From Shallow to Deep"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4675-7055","authenticated-orcid":false,"given":"Joey Tianyi","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8855-1880","authenticated-orcid":false,"given":"Heng","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5727-2790","authenticated-orcid":false,"given":"Xi","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0793-9187","authenticated-orcid":false,"given":"Meng","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Qin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rick Siow Mong","family":"Goh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","author":"mikolov","year":"2013","journal-title":"Efficient Estimation of Word Representations in Vector Space"},{"key":"ref38","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc NIPS"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289451"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.02.002"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.133"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298947"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth0410-248"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.07.001"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.430"},{"key":"ref34","first-page":"25","article-title":"A graphbased framework for multi-task multi-view learning","author":"he","year":"2011","journal-title":"Proc ICML"},{"key":"ref28","first-page":"500","article-title":"Semantic hashing","volume":"500","author":"salakhutdinov","year":"2007","journal-title":"Proc RBM"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2806279"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2699863"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2467315"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2487976"},{"key":"ref20","first-page":"2400","article-title":"Transfer learning for cross-language text categorization through active correspondences construction","author":"zhou","year":"2016","journal-title":"Proc AAAI"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.572"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654987"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2405574"},{"key":"ref23","first-page":"2023","article-title":"Learning using privileged information: Similarity control and knowledge transfer","volume":"16","author":"vapnik","year":"2015","journal-title":"J Mach Learn Res"},{"key":"ref26","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.107"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2465274"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2006.49"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2481325"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2777183"},{"key":"ref54","first-page":"1","article-title":"Hashing with graphs","author":"liu","year":"2011","journal-title":"Proc ICML"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2678163"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2283497"},{"key":"ref10","first-page":"3946","article-title":"Quantized correlation hashing for fast cross-modal search","author":"wu","year":"2015","journal-title":"Proc IJCAI"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995432"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref12","first-page":"2414","article-title":"Transfer hashing with privileged information","author":"zhou","year":"2016","journal-title":"Proc IJCAI"},{"key":"ref13","first-page":"1509","article-title":"Locality-sensitive binary codes from shift-invariant kernels","author":"raginsky","year":"2009","journal-title":"Proc NIPS"},{"key":"ref14","first-page":"1753","article-title":"Spectral hashing","author":"weiss","year":"2008","journal-title":"Proc NIPS"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.348"},{"key":"ref16","first-page":"3904","article-title":"Learning to hash on partial multi-modal data","author":"wang","year":"2015","journal-title":"Proc IJCAI"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.167"},{"key":"ref18","first-page":"1095","article-title":"Heterogeneous domain adaptation for multiple classes","author":"zhou","year":"2014","journal-title":"Proc AISTATS"},{"key":"ref19","first-page":"2213","article-title":"Hybrid heterogeneous transfer learning through deep learning","author":"zhou","year":"2014","journal-title":"Proc AAAI"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.03.030"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2789887"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2626959"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2490080"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2009.06.042"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2330900"},{"key":"ref49","first-page":"3849","article-title":"Marginalizing stacked linear denoising autoencoders","volume":"16","author":"chen","year":"2015","journal-title":"J Mach Learn Res"},{"key":"ref9","first-page":"1360","article-title":"Learning hash functions for cross-view similarity search","author":"kumar","year":"2011","journal-title":"Proc IJCAI"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143892"},{"key":"ref45","article-title":"Approximation with artificial neural networks","author":"cs\u00e1ji","year":"2001"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"},{"key":"ref47","first-page":"28","article-title":"Learning from multiple partially observed views—An application to multilingual text categorization","author":"amini","year":"2009","journal-title":"Proc NIPS"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646421"},{"key":"ref41","author":"bahdanau","year":"2014","journal-title":"Neural machine translation by jointly learning to align and translate"},{"key":"ref44","first-page":"2174","article-title":"Learning a deep \n$l_\\infty $\n encoder for hashing","author":"wang","year":"2016","journal-title":"Proc IJCAI"},{"key":"ref43","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8540478\/08356229.pdf?arnumber=8356229","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T19:05:56Z","timestamp":1643223956000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8356229\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":56,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2018.2827036","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12]]}}}